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Date published: 2026-08-04
Select models from DeepSeek, Z.ai, and Moonshot AI are now available in AIP through AWS Bedrock on non-georestricted, US, EU, UK, and JP commercial enrollments.
DeepSeek V3.2 ↗ is DeepSeek's mixture-of-experts reasoning model optimized for reasoning, coding, and instruction following. It supports client-side tool use and a 164,000-token context window with up to 8,000 output tokens.
GLM 5 ↗ is Z.ai's multimodal reasoning model, designed for coding, multilingual understanding, and agentic workflows. It supports text and image inputs, client-side tool use, and a 256,000-token context window with up to 16,000 output tokens.
Kimi 2.5 ↗ is Moonshot AI's frontier-class reasoning model, optimized for complex systems engineering and long-horizon agentic tasks. It supports advanced reasoning, mathematics, coding, and client-side tool use, with a 200,000-token context window and up to 128,000 output tokens.
To use these models:
We want to hear about your experiences using language models in the Palantir platform and welcome your feedback. Share your thoughts with Palantir Support channels or on our Developer Community ↗ using the language-model-service tag ↗.
Date published: 2026-08-04

As of the week of August 3, SuperRepo is now available in beta, bringing a pro-code way to build complex full-stack applications anchored around the Ontology. A SuperRepo is a single monorepo that holds your Ontology definitions, your functions, and your React application together, so you can develop, build, and deploy them as one versioned artifact.
With SuperRepo, you ship a feature that spans the Ontology, a function, and a frontend from one repository, in a single edit-and-preview cycle.
The Foundry CLI runs your SuperRepo on your own machine so you can change the Ontology, your functions, and your application together:

Track Ontology SDK rebuild progress in the ontology section of the preview output.
A SuperRepo compiles natively into a Marketplace product: a self-contained, reproducible, and cryptographically signed bundle you can install on one or more enrollments. Run foundry deploy configure once to map your deployment inputs into an env.yml file, commit it, and both deployment paths read the same configuration:

The interactive foundry deploy configure flow writes your deployment configuration to env.yml
A SuperRepo does not require a separate Ontology. Entities that already exist on your enrollment, including those built in the Ontology Manager, can be imported into your SuperRepo instead of being redefined in code, and types created in code are visible in the UI. Applications are never siloed by how their Ontology types were created.
Create a SuperRepo in whichever environment you prefer:
foundry create.Then follow the end-to-end tutorial to import an object type, define a link type, add a TypeScript function, expose it as a function-backed action, and consume all of it from a React application without leaving your editor. When you are ready to install on an enrollment, review Prepare for your first deployment.
Learn more about SuperRepo in our documentation.
The following are in active development and not available yet:
Review Coming in the future and the FAQ for details.
We welcome your feedback on SuperRepo, and your posts help the team prioritize what to build next. Share your thoughts with Palantir Support channels or our Developer Community ↗ using the superrepo ↗ tag.